Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Land susceptibility to water and wind erosion risks in the East Africa region
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4522539
Author(s) Fenta, Ayele Almaw; Tsunekawa, Atsushi; Haregeweyn, Nigussie; Poesen, Jean; Tsubo, Mitsuru; Borrelli, Pasquale; Panagos, Panos; Vanmaercke, Matthias; Broeckx, Jente; Yasuda, Hiroshi; Kawai, Takayuki; Kurosaki, Yasunori
Author(s) at UniBasel Borrelli, Pasquale
Year 2020
Title Land susceptibility to water and wind erosion risks in the East Africa region
Journal Science of the Total Environment
Volume 703
Pages / Article-Number 135016
Abstract Land degradation by water and wind erosion is a serious problem worldwide. Despite the significant amount of research on this topic, quantifying these processes at large- or regional-scale remains difficult. Furthermore, very few studies provide integrated assessments of land susceptibility to both water and wind erosion. Therefore, this study investigated the spatial patterns of water and wind erosion risks, first separately and then combined, in the drought-prone region of East Africa using the best available datasets. As to water erosion, we adopted the spatially distributed version of the Revised Universal Soil Loss Equation and compared our estimates with plot-scale measurements and watershed sediment yield (SY) data. The order of magnitude of our soil loss estimates by water erosion is within the range of measured plot-scale data. Moreover, despite the fact that SY integrates different soil erosion and sediment deposition processes within watersheds, we observed a strong correlation of SY with our estimated soil loss rates (r2âEuroŻ=âEuroŻ0.4). For wind erosion, we developed a wind erosion index by integrating five relevant factors using fuzzy logic technique. We compared this index with estimates of the frequency of dust storms, derived from long-term Sea-Viewing Wide Field-of-View Sensor Level-3 daily data. This comparison revealed an overall accuracy of 70%. According to our estimates, mean annual gross soil loss by water erosion amounts to 4 billion t, with a mean soil loss rate of 6.3âEuroŻtâEuroŻha-1âEuroŻyr-1, of which ca. 50% was found to originate in Ethiopia. In terms of land cover, ca. 50% of the soil loss by water erosion originates from cropland (with a mean soil loss rate of 18.4âEuroŻtâEuroŻha-1âEuroŻyr-1), which covers ca. 15% of the total area in the study region. Model results showed that nearly 10% of the East Africa region is subject to moderate or elevated water erosion risks (>10âEuroŻtâEuroŻha-1âEuroŻyr-1). With respect to wind erosion, we estimated that around 25% of the study area is experiencing moderate or elevated wind erosion risks (equivalent to a frequency of dust storms >45âEuroŻdaysâEuroŻyr-1), of which Sudan and Somalia (which are dominated by bare/sparse vegetation cover) have the largest share (ca. 90%). In total, an estimated 8 million ha is exposed to moderate or elevated risks of soil erosion by both water and wind. The results of this study provide new insights on the spatial patterns of water and wind erosion risks in East Africa and can be used to prioritize areas where further investigations are needed and where remedial actions should be implemented.
Publisher Elsevier
ISSN/ISBN 0048-9697 ; 1879-1026
edoc-URL https://edoc.unibas.ch/73535/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.scitotenv.2019.135016
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/31734497
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.512 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
14/05/2024